Undermind revolutionizes academic research by providing intelligent search, AI-driven insights, and verified relevance scores. It reads thousands of papers, assesses their importance, and uncovers cross-disciplinary connections for innovative research. Alerts for newly published studies, natural language queries, and intuitive result exploration make it ideal for researchers, students, and teams. Backed by MIT PhDs and Y Combinator, Undermind reduces weeks of manual work into minutes, offering enterprise-grade collaboration and precise literature analysis across disciplines.

Key Features

• AI-powered search with citation graph traversal and full-text analysis

• Relevance scoring, novelty assessment, and cross-disciplinary insights

• Automated alerts for newly published relevant papers

• Collaboration features with team dashboards and admin controls

• User-friendly interface with natural language queries and exportable references

• Trusted by top institutions such as MIT, Harvard, and Caltech

Industries

• Academic Research

• Education & Libraries

• Industry R&D and Innovation

• Policy Analysis & Public Sector

• Interdisciplinary Research Teams

Undermind helps researchers and students conduct thorough literature reviews with AI-driven insights. A PhD researcher can rapidly identify relevant studies, uncover research gaps, and explore novel ideas using full-text analysis and citation graphs. Students can summarize papers, track references, and receive relevance scores to streamline assignments or theses. Librarians can integrate Undermind to support academic communities, while interdisciplinary teams uncover connections across fields for collaborative projects. Educators can curate course readings efficiently, and industry professionals can access precise scientific literature to guide R&D and product development. Policy analysts can leverage verified research to make evidence-based decisions, ensuring accuracy and efficiency in all workflows.